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flowchart TB
Start([Need Blockchain?]) --> Q1{Multiple parties<br/>without trust?}
Q1 -->|No| DB[Use Traditional Database]
Q1 -->|Yes| Q2{Immutable<br/>audit trail?}
Q2 -->|No| DB
Q2 -->|Yes| Q3{">100 TPS?"}
Q3 -->|Yes| Private[Private Blockchain<br/>or IOTA]
Q3 -->|No| Q4{Public<br/>verification?}
Q4 -->|Yes| Public[Public Blockchain]
Q4 -->|No| Private
style DB fill:#7F8C8D,stroke:#2C3E50,color:#fff
style Private fill:#16A085,stroke:#2C3E50,color:#fff
style Public fill:#2C3E50,stroke:#16A085,color:#fff
303 Blockchain and Distributed Ledger Technology for IoT
303.1 Overview
Blockchain and distributed ledger technology (DLT) offer an alternative to centralized trust: immutable, decentralized trust where no single party controls the record of truth. This chapter series explores how blockchain provides a shared, tamper-proof ledger where IoT devices can record transactions, trigger automated agreements through smart contracts, and establish trust without intermediaries.
In one sentence: Blockchain provides immutable, decentralized trust for multi-party IoT ecosystems, but cannot solve device-level security or meet real-time latency requirements.
Remember this rule: Only use blockchain when multiple parties need shared data without trusting each other AND require an immutable audit trail; otherwise, a traditional database is simpler, faster, and cheaper.
303.2 Chapter Series
This topic is covered across four focused chapters:
303.2.1 Blockchain Fundamentals for IoT
Learn why blockchain matters for IoT and how to choose the right blockchain type for your application.
Topics covered:
- The trust problem in multi-party IoT ecosystems
- What blockchain provides: immutability, decentralization, transparency, smart contracts
- Public blockchains (Bitcoin, Ethereum) vs private blockchains (Hyperledger Fabric)
- IoT-optimized distributed ledgers (IOTA Tangle, Hedera Hashgraph)
- Comparison table and decision framework for blockchain selection
Time: ~35 minutes | Difficulty: Intermediate
303.2.2 Smart Contracts and Architectural Patterns
Explore how smart contracts automate IoT agreements and learn architectural patterns for integrating blockchain with resource-constrained devices.
Topics covered:
- Smart contract fundamentals: if-then logic enforced by mathematics
- Pharmaceutical cold chain example with automated breach handling
- Pattern 1: On-chain vs off-chain data (hybrid storage)
- Pattern 2: IoT gateway as blockchain node
- Pattern 3: Periodic anchoring vs real-time transactions
- Pattern 4: Lightweight verification (SPV)
- Cold chain design challenge with complete solution
Time: ~30 minutes | Difficulty: Advanced
303.2.3 Blockchain Limitations and Real-World Implementations
Understand the practical limitations of blockchain for IoT and see how real companies are deploying blockchain solutions.
Topics covered:
- Scalability bottleneck: TPS calculations and solutions
- Resource constraints: Why IoT devices cannot run full nodes
- Latency mismatch: Blockchain finality vs IoT real-time requirements
- Energy consumption: PoW vs PoS vs IoT-optimized consensus
- GDPR and immutability challenges
- IBM Food Trust, MediLedger, MOBI Vehicle Identity, Helium Network
- Worked examples: Transaction throughput and cost calculations
Time: ~25 minutes | Difficulty: Intermediate
303.2.4 Blockchain Interactive Lab and Knowledge Check
Build a working blockchain on ESP32 and test your understanding with comprehensive knowledge checks.
Topics covered:
- Hands-on ESP32 blockchain implementation
- Block structure with SHA-256 hashing
- Proof-of-Work mining with difficulty adjustment
- Chain validation and tamper detection
- Challenge exercises for deeper learning
- 5-question knowledge check covering all blockchain concepts
- Summary and decision framework
Time: ~45 minutes | Difficulty: Advanced
303.3 Learning Path
Recommended order:
- Start with Blockchain Fundamentals to understand the basics
- Continue to Smart Contracts and Patterns for design knowledge
- Study Limitations and Implementations for practical insights
- Complete the Interactive Lab for hands-on experience
Total estimated time: ~2.5 hours
303.4 Quick Decision Guide
- Edge-Fog Computing - Complements blockchain with real-time edge processing
- M2M Fundamentals - Machine-to-machine protocols enhanced by blockchain
- IoT Device Security - Device identity for blockchain participation